Governing Social-Ecological Systems

dc.contributor.authorJanssen, Marco A.en_US
dc.contributor.authorOstrom, Elinoren_US
dc.contributor.authorTesfatsion, L.en_US
dc.contributor.authorJudd, K.L.en_US
dc.date.accessioned2009-07-31T14:24:34Z
dc.date.available2009-07-31T14:24:34Z
dc.date.issued2006en_US
dc.date.submitted2007-08-09en_US
dc.date.submitted2007-08-09en_US
dc.description.abstract"Social-ecological systems are complex adaptive systems where social and biophysical agents are interacting at multiple temporal and spatial scales. The main challenge for the study of governance of social-ecological systems is improving our understanding of the conditions under which cooperative solutions are sustained, how social actors can make robust decisions in the face of uncertainty and how the topology of interactions between social and biophysical actors affect governance. We review the contributions of agent-based modeling to these challenges for theoretical studies, studies which combines models with laboratory experiments and applications of practical case studies. "Empirical studies from laboratory experiments and field work have challenged the predictions of the conventional model of the selfish rational agent for common pool resources and public-good games. Agent-based models have been used to test alternative models of decision-making which are more in line with the empirical record. Those models include bounded rationality, other regarding preferences and heterogeneity among the attributes of agents. Uncertainty and incomplete knowledge are directly related to the study of governance of social-ecological systems. Agent-based models have been developed to explore the consequences of incomplete knowledge and to identify adaptive responses that limited the undesirable consequences of uncertainties. Finally, the studies on the topology of agent interactions mainly focus on land use change, in which models of decision-making are combined with geographical information systems. "Conventional approaches in environmental economics do not explicitly include nonconvex dynamics of ecosystems, non-random interactions of agents, incomplete understanding, and empirically based models of behavior in collective action. Although agent-based modeling for social-ecological systems is in its infancy, it addresses the above features explicitly and is therefore potentially useful to address the current challenges in the study of governance of social-ecological systems."en_US
dc.identifier.citationpages1465-1509en_US
dc.identifier.citationpublocNew Yorken_US
dc.identifier.urihttps://hdl.handle.net/10535/60
dc.publisherElsevieren_US
dc.relation.ispartofHandbook of Computational Economics II: Agent-Based Computational Economicsen_US
dc.subjectagent-based computational economicsen_US
dc.subjectWorkshopen_US
dc.subjectsocio-economic systemsen_US
dc.subjectadaptive systemsen_US
dc.subjectcomplexityen_US
dc.subject.sectorSocial Organizationen_US
dc.subject.sectorTheoryen_US
dc.submitter.emailefcastle@indiana.eduen_US
dc.titleGoverning Social-Ecological Systemsen_US
dc.typeBook Chapteren_US
dc.type.publishedpublisheden_US

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